Course Details
Course Information Package
Course Unit Title | SYSTEMS ANALYSIS | ||||||||||
Course Unit Code | CES491 | ||||||||||
Course Unit Details | |||||||||||
Number of ECTS credits allocated | 5 | ||||||||||
Learning Outcomes of the course unit | By the end of the course, the students should be able to:
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Mode of Delivery | Face-to-face | ||||||||||
Prerequisites | AMAT300,AMAT314 | Co-requisites | NONE | ||||||||
Recommended optional program components | NONE | ||||||||||
Course Contents |
· Introduction
o The “systems” approach
§ Building models
§ Systems optimization
§ Rules of modelling
o The form of a mathematical program
§ Example mathematical programs
· Search methods
o Manual
o Graphical
o Mathematical programming [e.g. Linear programming (LP), Nonlinear programming (NLP), Integer programming (IP), Global search methods overview]
· Analysis
o Sensitivity analysis
o Multi-objective methods (e.g. Generating trade-off curves)
o Alternatives generation (i.e. Modelling to generate alternatives)
o Uncertainty analysis (i.e. Monte Carlo methods)
· Systems to be examined
o Engineered systems, (e.g. Water resources planning, Wastewater treatment plant operation, transportation engineering, construction management, structures, and environmental engineering)
· Overview of decision support tools
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Recommended and/or required reading: | |||||||||||
Textbooks |
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References |
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Planned learning activities and teaching methods | The course will be presented through theoretical lectures in class. The lectures will present to the student the course content and allow for questions. The material will be presented using visual aids (i.e. PowerPoint presentation slides, documentaries, etc.). The aim is to familiarize the student with the different and faster pace of presentation and also allow the instructor to present related material that would otherwise be very difficult to do. The learning process will be enhanced with the requirement from the student to carry in-class discussions and tackling of hypothetical scenarios in small-group exercises. In-class problem-solving as well as homework exercises (mostly numerical) will allow students to practice their design skills in a controlled setting. A final project, which will be required as part of the students assessment for the course, will allow students the opportunity to carry out independent research, synthesize basic concepts presented in class, as well as hone their writing and presentation skills. Besides from the notes taken by students in class, all of the course material will be made available through the class website which will be available through the University’s E-learning platform. The instructor will be available to students during office hours or by appointment in order to provide necessary guidance.
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Assessment methods and criteria |
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Language of instruction | English | ||||||||||
Work placement(s) | NO |